Comparison
CitrusGlaze vs NemoClaw
NemoClaw sandboxes one agent. CitrusGlaze sees what every AI tool on your machine is sending. Different layers — and you probably need both.
Where each sits in the Agent Security Stack
AI agent security is not one layer. NemoClaw operates at L1/L3 (compute sandbox + policy engine). CitrusGlaze operates at L4/L5/L7 (network inspection + secret detection + observability). They are complementary.
| Layer | What it secures | NemoClaw | CitrusGlaze |
|---|---|---|---|
| L1 — Compute | Process isolation, filesystem, syscalls | ✓ | — |
| L2 — Identity | Credential injection, auth scoping | ✓ | — |
| L3 — Policy | Egress allow/deny, tool-call rules | ✓ | ✓ |
| L4 — Network | Prompt/response content inspection | — | ✓ |
| L5 — Secrets | Secret/key detection in transit | — | ✓ |
| L6 — Privacy | PII redaction before cloud inference | ✓ | Roadmap |
| L7 — Observability | Cost tracking, usage analytics, shadow AI | — | ✓ |
At a glance
| Feature | CitrusGlaze | NemoClaw |
|---|---|---|
| What it does | Network-layer AI security proxy | Compute sandbox for OpenClaw agents |
| Price | $10/user/month | Free (OSS) + GPU compute costs |
| AI tools covered | 39+ (any AI tool on machine) | OpenClaw only |
| Deploy time | 5 minutes | 30+ min (Docker + GPU setup) |
| Secret detection | 349+ AI-specific patterns | No |
| Token/cost tracking | Yes — per request | No |
| Shadow AI discovery | Yes — all processes | No (only sees OpenClaw) |
| Process isolation | No | Yes — container sandbox |
| Hardware requirement | Any Mac (no GPU needed) | Docker + GPU recommended |
| Maturity | Production | Alpha (early access) |
Where NemoClaw wins
We'll be direct about this.
Process-level isolation
NemoClaw, via NVIDIA OpenShell, sandboxes each agent in its own container with kernel-level enforcement. Filesystem access, syscalls, and privilege escalation are blocked at the OS level. CitrusGlaze operates at the network layer — we see what goes over the wire, but we don't sandbox the process itself. If your agent can rm -rf /, NemoClaw stops it. We don't.
Privacy router with PII redaction
OpenShell's privacy router can tokenize PII before sending prompts to cloud models, letting agents use powerful cloud inference without exposing personal data. CitrusGlaze detects secrets in transit but doesn't currently redact PII from prompts before they leave.
Credential management
OpenShell strips the agent's own credentials from outbound requests and injects backend credentials at the runtime layer. The agent never sees the real API keys. This is a fundamentally different (and strong) approach to credential security.
NVIDIA ecosystem integration
If you're running Nemotron models locally on DGX Spark or RTX hardware, NemoClaw gives you a turnkey stack — agent runtime, local inference, and security in one install. The NVIDIA ecosystem is deeply integrated.
Where CitrusGlaze wins
Every AI tool, not just one
NemoClaw secures OpenClaw. That's it. If your developers also use Claude Code, Cursor, ChatGPT, GitHub Copilot, Windsurf, or any of the other 39+ AI tools we've tested — NemoClaw doesn't see that traffic.
CitrusGlaze is a local MITM proxy that intercepts AI API calls from every process on the machine. Browser, CLI, SDK, agent framework — if it talks to an AI provider, we see it.
The average developer uses 3.2 AI tools. Securing one of them is a start. Securing all of them is the job.
We see what's actually in the prompts
NemoClaw controls which destinations an agent can reach. It's an egress firewall — allow/deny at the connection level.
CitrusGlaze decrypts and inspects the actual prompt and response content. We know what your developer pasted, not just where it was sent.
An allowed connection can still carry an AWS secret key in the prompt body. NemoClaw's policy engine approves the connection. CitrusGlaze catches the secret.
349+ secret detection patterns
NemoClaw has a privacy router that redacts PII. It does not scan for secrets — API keys, database connection strings, private keys, or cloud credentials.
CitrusGlaze's Rust-based scanning engine checks every prompt against 349+ patterns specifically tuned for what developers paste into AI tools: AWS access keys, GitHub tokens, Stripe keys, database URIs, private keys, and high-entropy strings.
PII redaction and secret detection are different problems. You need both.
Cost tracking and shadow AI discovery
NemoClaw doesn't track token usage or costs. It doesn't know which AI tools your team is using outside of OpenClaw.
CitrusGlaze tracks tokens per request, calculates cost per provider, and attributes usage per application. It also discovers every AI tool running on the machine — including ones your team didn't tell you about.
No GPU. No Docker. 5-minute install.
CitrusGlaze
NemoClaw
Docker runtime required
GPU recommended for local inference
NVIDIA DGX Spark or RTX hardware ideal
OpenShell container orchestration setup
Alpha stage — "expect rough edges" (NVIDIA, March 2026)
Production-ready vs. alpha
NVIDIA describes NemoClaw as early-stage alpha software with "interfaces, APIs, and behavior subject to change without notice." It is not yet production-ready.
CitrusGlaze is shipping today. Install it, and it works.
Full feature comparison
| Feature | CitrusGlaze | NemoClaw |
|---|---|---|
| Prompt content inspection | ✓ | — |
| Response content inspection | ✓ | — |
| Secret detection (AI-specific) | ✓ 349+ patterns | — |
| PII redaction | Roadmap | ✓ |
| Token counting | ✓ | — |
| Cost tracking per request | ✓ | — |
| Shadow AI discovery | ✓ | — |
| Process sandbox / isolation | — | ✓ |
| Filesystem access control | — | ✓ |
| Egress network policy | ✓ | ✓ |
| Credential injection / rotation | — | ✓ |
| Browser AI coverage | ✓ | — |
| CLI tool coverage | ✓ 39 verified | OpenClaw only |
| Prompt injection detection | ✓ | — |
| Tool call policy engine | ✓ | ✓ |
| Local inference support | — | ✓ |
| No GPU required | ✓ | GPU recommended |
| No Docker required | ✓ | — |
| 100% local data processing | ✓ | ✓ |
| Production-ready | ✓ | Alpha |
Who should pick which
Pick NemoClaw if
- • You're running OpenClaw as your primary AI agent
- • You need process-level sandboxing (filesystem, syscalls)
- • You have NVIDIA GPU hardware (DGX Spark, RTX)
- • You want to run Nemotron models locally for zero token costs
- • You're comfortable with alpha software and Docker
Pick CitrusGlaze if
- • Your team uses multiple AI tools (not just OpenClaw)
- • You need to know what secrets are in your AI prompts
- • You want cost tracking and usage analytics
- • You need to discover shadow AI tools on developer machines
- • You want something production-ready today, not alpha
- • You don't have NVIDIA GPU hardware
Best answer: use both
NemoClaw and CitrusGlaze operate at different layers of the security stack and are fully complementary. Run NemoClaw to sandbox your OpenClaw agent (L1: compute isolation, L2: credential management, L3: policy). Run CitrusGlaze to inspect what every AI tool on your machine sends over the network (L4: content inspection, L5: secret detection, L7: cost tracking). Together, you get defense in depth from the kernel to the wire.
See what your AI tools are sending
Sandboxing controls what an agent can do. We show you what it actually sent. Start in 5 minutes.
100% local. Nothing leaves your machine. Takes 15 seconds.
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